Senior Data Analyst (m/f/d) - Shop Analytics - onsite in Hamburg
Senior Data Analyst (m/f/d) - Shop Analytics - onsite in Hamburg
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Job Description
Join our Shop Analytics Team within the Customer & Shop Intelligence cluster and directly impact millions of fashion shoppers experiences. Youll analyze complex e-commerce data to drive product decisions optimize conversion funnels and power personalization features that keep users engaged.
Working closely with Product Owners and cross-functional teams youll provide full-cycle A/B test analytical support create tracking concepts and translate user behavior and shop performance insights into actionable business recommendations.
What you will do
- Conduct in-depth analyses on shop user behavior to uncover actionable insights
- Drive shop optimization and growth by providing analytical insights to Business and Product Owners and influencing product enhancements
- Shape the success metrics for our shop developing and monitoring KPIs that directly impact millions of users shopping experiences
- Provide full-cycle A/B test analytical support to optimize shop performance
- Define tracking requirements and support QA of tracking implementations to ensure data accuracy and reliability
- Design and implement advanced dashboards enabling self-service analytics across the organization
- Collaborate with multiple stakeholders across the organization to answer shop-related questions with analytical insights supporting business decision-making
Who you are
- Advanced proficiency in SQL for complex data analysis and querying large datasets
- Expertise in e-commerce KPIs and funnel analysis
- Solid understanding of web analytics and experience working with frontend tracking data (GA4 experience is a plus)
- Experience with data visualization tools (e.g. Looker Studio Tableau or similar) to create compelling dashboards and reports
- Advanced knowledge of A/B testing methodology and statistical analysis for experiment design and interpretation
- Strong understanding of customer segmentation and cohort analysis in the e-commerce context
- Proactive and self-driven with the ability to work independently and drive projects from conception to completion
- Collaborative mindset adept at working with cross-functional teams and building strong relationships with stakeholders
- Pragmatic approach to problem-solving consistently delivering efficient data-driven solutions.
- Attention to detail and commitment to data quality and accuracy
- Excellent communication skills enabling the translation of complex data analysis into clear actionable insights for diverse stakeholders.
Nice to have
- Working knowledge of a programming language for data analysis (Python preferred)
- Experience with big data technologies (e.g. Google BigQuery)
- Familiarity with version control systems (e.g. Git)
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
